In addition to the default word alternatives, translations can
contain word alternatives from a statistical dictionary.
Select whether to mark those alternatives in the translation.

Show statistical alternatives

Mark statistical alternatives

Analysis

Options

Analysis Type

Do a

syntactic

Syntactic

Semantic

analysis and display it in

informal

Informal

Formal

Standard CoNLL

notation.

References

translateDict

Options

Display Duden entries

Source Address

Please make sure your url starts with 'http' or 'https', otherwise
the translation process will not be started.

Go!

Translation

Due to technical limitations, the translated result page will
be presented in a new window or tab (depending on your
browser's settings) after you initiate the translation process.

Source Address

Please make sure your url starts with 'http' or 'https', otherwise
the translation process will not be started.

Go!

Translation

Word alternatives

Quantity

In addition to the default word alternatives, translations can
contain word alternatives from a statistical dictionary.
Select whether to mark those alternatives in the translation.

Show statistical alternatives

Mark statistical alternatives

Due to technical limitations, the translated result page will
be presented in a new window or tab (depending on your
browser's settings) after you initiate the translation process.

Source Text

Treat end of line as end of sentence

Go!

Translation

Options

Word alternatives

Quantity

In addition to the default word alternatives, translations can
contain word alternatives from a statistical dictionary.
Select whether to mark those alternatives in the translation.

Show statistical alternatives

Mark statistical alternatives

Source Text I

The number of segments in source and target language are not the same. To be able to align source and target sentences, it is required that the number of segments (separated by double line breaks) is equal in source and target input.

Treat end of line as end of sentence

Go!

Source Text II

New dictionary

Options

Show all transfer relations instead of only the newly discovered ones.

Part of Speech

Stopwords

Use spaces to separate stopwords. Note that
multi-word stopwords are not allowed.

Demonstration limit

Stopwords are limited to an amount of 350 characters.

Go!

Glossary

Options

Display Duden entries

Source Word

Go!

Conjugations

Options

Options not yet available to the public.

Source Text

de - en

en - de

de - es

es - de

de - pt

pt - de

de - it

it - de

de - cz

cz - de

en - cz

cz - en

Please note: Statistical Machine Translation is in beta status and
is being actively developed and improved.

Options

Use a language model trained with a neural network

Use a translation model with additional linguistic information

Treat end of line as end of sentence

Go!

Translation

About lingenio wwwtranslate

What is wwwtranslate

wwwtranslate is a multifunctional online language processing
platform providing Lingenio web services in the area of machine
translation and dictionary lookup, syntactic analysis and search
for reference examples.

The aim of wwwtranslate is to
bring together a good variety of the services provided by
Lingenio in order to show relevant Lingenio achievements in the
field of natural language processing at a glance.

In addition, the platform shall demonstrate the possibilities of
combining the different services in order to optimize text
analysis and multilingual support. This will be realized step
by step.

In this respect,
the platform is still under construction and illustrates work
in progress.

provide some combinations of the different services
(for example dictionary creation and translation)

provide additional language pairs

Please have a look at our platform regularly.

You can learn more about our offline and online products and
services covering various mono- and multilingual solutions on
our services webpage
and in our webshop.

Use wwwtranslate

You may add text manually to the source window or by pasting.

Upon pasting, the text will be analyzed into segments in a preliminary form. This allows you to get an overview about how the input is structured before undergoing the processing selected (sentence-based lemmatization, analysis, translation, etc.). In addition you may modify the segmentation if necessary.

If the lines of the input text correspond to the segments to be treated further (irrespective of whether they show a corresponding punctuation mark at the end), please select the option 'Treat end of line as end of sentence' before entering the text into the source window.

Automatic segmentation

You may add text manually to the source window or by pasting.

Upon pasting, the text will be analyzed into segments in a preliminary form. This allows you to get an overview about how the input is structured before undergoing the processing selected (sentence-based lemmatization, analysis, translation, etc.). In addition you may modify the segmentation if necessary.

If the lines of the input text correspond to the segments to be treated further (irrespective of whether they show a corresponding punctuation mark at the end), please select the option 'Treat end of line as end of sentence' before entering the text into the source window.

References

This field displays translations for sentences that are
similar to the sentence of the source window (and the
first sentence there respectively, if the window
contains a text).
The repository contains idiomatic expressions and
frequently used phrases and application examples as well
as certified translations of texts from various domains
(translation memories). The repository is used in
Lingenio's product series translate as well.

Statistical Machine Translation

Translations are done with a statistical machine translation
system instead of the rule-based system Lingenio normally uses.
Thus, translations may differ from results in other panes.

We are constantly updating machine translation resources to
improve translation quality and extend the range of languages.

Are you interested in a personalized statistical machine translator?
Maybe one with a language pair that isn't yet listed here? Send a
message to support@lingenio.de
or use our contact form.

Research and Sponsoring

Funded by the Seventh Framework Programme of the European Union

Conjugator

The Conjugator shows conjugation tables for the given verbs. Verbs can
be entered either inflected or in their basic form.

Glossary Maker

The Glossary Maker searches the text for words satisfying the
criteria specified by the Glossary Maker options. It looks up the
dictionary entries for the corresponding basic forms (lemmata) and
displays the set of results. The glossary follows the sentence
structure of the text and the order of the words in the
sentences such that for each sentence the corresponding information
is displayed separately and can be inspected at a glance.

The glossary entries include indications about which reading of the
word and which translation is most likely in the given context. The
system computes this information from structural and semantic analyses
of the sentences and higlights the corresponding suggestion in the
entry by a yellow arrow. .

The language pair to be considered is selected by clicking on the flags
in the source text window.

Currently, the Glossary maker options include search for specific parts
of speech and exclusion of particular words (lemmata) called
'stopwords'. Other options like search for words of specific subject
areas etc. will follow.

The function is being actively developed and improved,
so please check back regularly for enhanced results.

Annotator

The Annotation function has two different modes of operation:

Glossary

Annotations follow a user-defined glossary which is stored on
the server.

Semantic

Annotations are defined by a list of semantic types.

The annotated parts are highlighted by their background-color.
Hovering the mouse cursor over the highlighted text will display
a popup containing the annotations.

Lemmatizer

The lemmatizer analyzes the input text token by token, maps the
inflected forms onto the basic forms (lemmata) and returns the
list of lemmata found together with information on frequency and
part of speech classification.

Please note that word forms can refer to several word classes,
for example plane may be verb or noun. If the option
consider sentence structure is set, the lemmatizer uses syntactic
sentence analysis in order to choose the contextually correct form.
If consider sentence structure is not set, the lemmatizer
just uses part of speech frequency and some few morphological
constraints between tokens as a heuristics.

The entries contain linguistic classifications of the
words and inform about use conditions. The dictionaries
from German to English or French include the official
Duden explanations covering pronunciation, hyphenation
and word definitions which Bibliographisches Institut GmbH
kindly provides for the Lingenio dictionaries and
translation systems.

You can learn more about our offline and online products
and services covering various mono- and multilingual
solutions on our
services webpage
and in our
webshop.

Analysis

Analysis

The analysis tool carries out structural analyses of the sentences
introduced in the source text window. If the text consists of several
sentences, the corresponding analyses are represented following
the sequence of the sentences.

Depending on the options set the target window displays either the
result of the syntactic analysis or more abstract and compact
representations which are derived from these and focus on the
semantically relevant relations and informations. Both types of
analysis may be displayed in formal or informal notation. In addition,
syntactic representations may be displayed in a format which follows
the CoNLL standard.

Formal notation

Formal notation means that the structures
are displayed as they are computed by the system. Please contact us
if you are interested in APIs for integrating our analysis
components in your software systems.

Informal notation

In informal notation the technical terms
used for describing the relations between the nodes and the morphological,
syntactic and semantic classifications are spelled out in terms of the
surface language of the tool-window for better understanding.

CoNLL standard notation

The CoNLL option maps the syntactic representations to the structural
format that has been suggested by the Conference on Natural Language
Learning (CoNLL) for its series of shared tasks and beyond this as a
kind of standard for syntactic annotations of corpora
(cf. http://ifarm.nl/signll/conll,
http://ilk.uvt.nl/conll/#dataformat).
With respect to node descriptions and labels we use our own terms
(as there are variants with respect to this anyway).

Please contact us if you are interested in obtaining annotations
for larger texts or corpora.

Syntactic analysis

The syntactic analysis structures are slot grammar representations
of the corresponding sentences. Slot grammar is a unification-based
dependency grammar (cf. McCord 1989,
http://www.lingenio.de/forschung/publikationen).
It is used in Lingenio's Machine Translation systems and, for example,
also in deep parsing of IBM Watson.
The structure displayed in the window represents a slot grammar
tree rotated by 90 degrees to the left (such that the top is left
and the leaf nodes, the lexical elements, are on the right). The
visualization is structured into three columns where the first
represents the tree structure as such with the names of the edges
connecting the items, the second represents the stems of the words
recognized and the pointers to the corresponding lexical entries
(complemented by role filling information) and the third column shows
the morpho-syntactic annotation of the words.

Semantic analysis

The representations of this level reduce the slot grammar analyses to
the semantically relevant nodes and decorate these by information from
the semantic lexicon. In addition they are the result of some
structural standardizations which are suitable with respect to deep
semantic analysis in later steps of processing. We call these
structures slot grammar-based abstract dependency trees: SGaDTs).